BigBear.ai (NYSE:BBAI), an AI decision-intelligence provider for defense and enterprises, closed Monday’s session at $5.88, up 0.68%. The stock has gained 2.62% in the past five days. Monday’s action followed fresh focus on BigBear.ai’s plan to redeem its 6% convertible notes in mid-January and eliminate around $125 million of debt. Trading volume reached 73.4 million shares, about 38% below its three-month average of 118.6 million shares. BigBear.ai IPO'd in 2021 and has fallen 40% since going public. H ...

Core Viewpoint - Changsha has made significant progress in its "14th Five-Year Plan," achieving an average GDP growth of 5.4% and entering the ranks of mega cities, while preparing for the "15th Five-Year Plan" to guide future high-quality development [4]. Economic Development - The city has successfully implemented the spirit of the 20th National Congress of the Communist Party of China, focusing on high-quality development and modernization [4]. - Changsha's GDP has seen an average annual growth of 5.4%, marking a new milestone in its economic scale [4]. Innovation and Technology - The "Artificial Intelligence+" action plan has been launched, emphasizing 15 key areas to promote AI integration, resulting in significant advancements in the local tech ecosystem [8]. - Changsha has established itself as a global research and development center, ranking 9th in China's city innovation capability and 23rd globally [8]. Talent Attraction - Changsha was awarded "China's Best Talent Attraction City" in 2025, implementing various policies to attract young talent and enhance its appeal as a friendly city for youth [10]. - The city has seen a net increase of 54,500 young talents, with over 8% of new talents being young individuals [10]. Industrial Development - Changsha has received three national recognitions for its industrial sectors, including being named a "National Engineering Machinery Industry Landmark" [14]. - The city is constructing a modern industrial system, with significant achievements in engineering machinery and other sectors [14]. International Engagement - The city hosted major international events, including the 4th China-Africa Economic and Trade Expo, which attracted participation from 53 countries and resulted in contracts worth $3.8 billion [17]. - Changsha's international profile has been enhanced, with a 30% increase in foreign investment and a 45.3% growth in trade with Africa [17]. Urban Development - The Changsha-Zhuzhou-Xiangtan integration project has made significant strides, with the launch of a 92.8 km ecological greenway project [20]. - The city is focusing on urban renewal and environmental improvements, with a notable reduction in PM2.5 levels by 6.3% [30]. Quality of Life - Changsha has been recognized as the "Most Livable City" for 18 consecutive years, with significant improvements in public services and resident income [33]. - The average disposable income for urban residents reached 66,000 yuan, the highest in Central China [33].

Core Insights - OpenAI is facing a challenging decision regarding the monetization of its ChatGPT model, considering the high annual R&D costs and the potential integration of sponsored content in responses to user queries [1] - The rise of Generative Engine Optimization (GEO) has become a significant trend, with brands seeking to have their products prioritized in AI recommendations, leading to a burgeoning market for GEO services [2][3] Group 1: GEO Market Dynamics - The AI product usage has surged, with nearly 2 billion daily users globally, prompting brands to seek ways to monetize their presence in AI responses [2] - GEO services are emerging as a new business model, with companies like Perplexity AI raising substantial funding and achieving high valuations, while domestic players like Pureblue AI are also gaining traction [2][3] - The GEO market in China is projected to grow significantly, with a forecasted 215% year-on-year increase by Q2 2025, and Gartner predicts that by 2028, 50% of search engine traffic will be captured by AI [2] Group 2: GEO Service Mechanisms - GEO service providers focus on creating structured content related to brand keywords, differing from traditional SEO by relying on AI to organically incorporate this content into responses [3] - The pricing for GEO services varies widely, with monthly fees ranging from 3,000 to 100,000 yuan, depending on the number of optimized keywords and AI platforms covered [4][5] - The effectiveness of GEO is uncertain due to the unpredictable nature of AI models, with some providers making unrealistic promises about guaranteed visibility [5] Group 3: Content Creation Strategies - GEO providers aim to become the default knowledge base for AI models by producing content that aligns with the preferences of these models, often using structured formats and authoritative links [6][7] - The competition in GEO is intensifying, with some providers producing high volumes of content to increase the chances of being captured by AI, while others focus on quality [7] - The evolving algorithms of AI models are becoming more adept at filtering out low-quality or biased content, making it essential for brands to maintain high standards in their online presence [7] Group 4: Challenges and Future Outlook - OpenAI and other companies are exploring advertising as a potential revenue stream, but the effectiveness of this model is uncertain, especially given the low trust users may have in AI-generated advertisements [10][11] - The operational costs of AI queries are significantly higher than traditional search, complicating the monetization efforts for AI companies [11] - The future of large models hinges on finding sustainable business models that can effectively balance user trust and revenue generation [11]

Core Insights - Jerry Tworek, OpenAI's VP of Research, announced his departure after nearly 7 years with the company, having played a crucial role in developing GPT-4, ChatGPT, and early AI programming models [1][2] - Tworek's recent focus was on the "reasoning models" team, which aimed to create AI systems capable of complex logical reasoning, and he was a key member of the core team behind the o1 and o3 models [1] - His departure hints at internal tensions within OpenAI, particularly regarding CEO Sam Altman's emphasis on product and revenue, which has reportedly caused friction among researchers [2] Summary by Sections - **Departure Announcement** - Tworek sent an internal memo to his team and shared the news on X, stating he would leave to explore research types that are difficult to pursue at OpenAI [2] - **Contributions to OpenAI** - He was instrumental in the development of significant AI advancements, including GPT-4 and ChatGPT, and contributed to the foundational models for OpenAI's recent progress [1] - **Internal Dynamics** - Tworek's comments suggest a critique of the current leadership's focus on commercialization, indicating a potential shift in the company's research culture [2]

Core Insights - Embodied intelligence is becoming a key force in shaping new competitive advantages in international markets, marking a transition from AI as a mere tool to a comprehensive paradigm shift in integration with the real economy [1] Group 1: Industry Foundation - Jiangsu has a strong industrial foundation with a leading manufacturing scale and a complete industrial chain, particularly in advanced manufacturing clusters like high-end equipment and electronic information, with AI-related industries exceeding 400 billion yuan [1] - There is a significant demand for intelligent transformation, providing an optimal testing ground and core driving force for technology implementation [1] Group 2: Innovation Resources - Jiangsu boasts abundant innovation resources and strong platform support, with several high-level universities and research institutions in the field of artificial intelligence [1] - The establishment of high-energy research platforms, such as the Jiangsu Humanoid Robot Manufacturing Innovation Center, reflects proactive provincial-level planning [1] Group 3: Policy Framework - A comprehensive policy system has been developed, including the "Jiangsu Province Robot Industry Innovation Development Action Plan," which promotes differentiated and collaborative layouts in cities like Nanjing, Wuxi, Changzhou, Suzhou, and Nantong [1] - This policy framework combines full-chain support with the development of characteristic clusters, creating systemic advantages [1] Group 4: Development Pathways - Jiangsu aims to cultivate new productive forces by implementing a "data empowerment" strategy to address core bottlenecks, utilizing a provincial data training center to collect high-value data from key manufacturing scenarios [2] - The focus will be on creating benchmark application scenarios in industries like automotive manufacturing and semiconductors, addressing non-standard challenges in automation [2] - A shift towards an "ability as a service" model is encouraged, promoting the transition from traditional hardware sales to intelligent production services, including robot leasing and cloud-based scheduling [2]

SUMMARY AND KEY POINTS: Cerence xUI™ combines hybrid, agentic intelligence with production-ready NVIDIA software and services running on Microsoft Azure, helping OEMs meet rising demand for fast, natural, LLM-powered in-car experiences.Cerence AI and NVIDIA expanded their collaboration in January 2025, and now multiple global automakers will deploy Cerence xUI on NVIDIA AI Enterprise in production vehicles launching in 2026, bringing a new era of AI-powered, high-performance assistants and agentic capabilit ...

在人工智能产业加速迭代浪潮中，科大讯飞始终聚焦人工智能主航道。2025年，公司在核心技术、行业 赋能与全球布局上全面进阶，实现持续的技术突破与扎实的产业落地。 2025年，讯飞星火人工智能大模型历经5次迭代，语言理解、数学推理等六大核心能力对标国际主流水 平。该模型多语言能力支持130余种语言，特别是拉美、东盟等地区使用的14个重点语言效果领先，为 世界提供了新选择。 "如果不利用国产算力开展大模型训练，就始终存在无法突破的重大短板，缺乏长期发展的安全保 障。"科大讯飞董事长刘庆峰道出了自主创新的意义，"我们用国产算力来训练自己的大模型，这样才能 避免被别人'卡脖子'。"这一突破背后，是科大讯飞对研发的持续加码，形成了从基础研究到产业化的 完整创新链条。 科大讯飞持续深化"AI+行业"布局，在多个领域实现规模化落地。在教育领域，公司为1.3亿名师生提供 智慧教育产品和解决方案；在汽车领域，为数十家车企提供前装智能化产品超6800万套，年在线交互次 数突破160亿次；在城市领域，服务330多个城市的4900余家政企单位。 科大讯飞深知，只有坚持长期主义、聚焦核心主业、深耕科技创新，方能在产业变革浪潮中行稳致远。 ...

Core Insights - Beijing aims to become the "global AI capital" with a target to exceed a trillion yuan in the core AI industry within two years, doubling the expected scale of 450 billion yuan by 2025 [1][4] - The city plans to implement nine major actions to establish itself as a global AI innovation hub, focusing on technological innovation, data quality, and application deployment [5][6] Group 1: Talent and Research Institutions - Beijing has a significant talent pool with 15,000 AI scholars, accounting for 30% of the national total, and 148 individuals listed among the top 2000 global AI scholars [2] - The city hosts four new AI research institutions, two national laboratories, five industry-education integration platforms, and AI colleges in 14 universities, enhancing its talent and research capabilities [2] Group 2: Technological Advancements - The "Zhongzhi FlagOS" system software stack allows for cross-chip operation, addressing compatibility issues in AI chip training [1] - The first industrial-grade simulation evaluation platform for embodied intelligence was launched, enabling high-quality model validation and significantly reducing training costs and time [2] Group 3: Infrastructure and Ecosystem - Beijing's AI ecosystem features a full-stack layout, including advancements in computing chips and a matrix of foundational models, with 209 models registered [3] - The city plans to build four AI innovation districts, each with unique characteristics, to enhance innovation density and entrepreneurial activity [8][9][10] Group 4: Action Plans and Goals - The nine actions include core technology breakthroughs, enhancing domestic AI chip performance, and establishing AI application pilot bases in various sectors [6][7] - By 2026, Beijing aims to achieve a self-sufficient computing capacity, implement over 100 benchmark AI applications, and attract over 200 billion yuan in investment [7]

SAN DIEGO and BEIJING, Jan. 5, 2026 /PRNewswire/ -- CreateAI Holdings Inc. (OTCMKTS: TSPH) ("CreateAI" or the "Company"), a global leader in applied artificial intelligence, today announced shareholder voting results for its annual meeting of stockholders held on December 29, 2025 (the "Annual Meeting"). As of October 31, 2025, the record date for the Annual Meeting, there were a total of 241,471,060 shares of common stock outstanding and entitled to vote at the Annual Meeting, comprised of 217,471,060 sha ...

Key Takeaways Two stocks beat NVIDIA in 2025, with D-Wave and Palantir delivering bigger gains than the AI chip leader. QBTS revenues nearly doubled year over year as Advantage2 rolled out, bookings rose, and its base expanded.PLTR revenues jumped on demand for its AI platform across government clients, lifting full-year 2025 sales.Despite U.S.-China trade headwinds, Wall Street’s most sought-after stock, NVIDIA Corporation (NVDA) , reported strong quarterly results throughout 2025, fueled by the artificial ...